metadata
tags:
- generated_from_trainer
model-index:
- name: falcon40b-mini-shakespeare
results: []
falcon40b-mini-shakespeare
This model was trained from scratch on "tinyshakespeare" text file.
Model description
The configuration and code is adapted from tiiuae/falcon-40b, with configuration parameters changed to make it a very tiny model.
- License: Apache 2.0.
Intended uses & limitations
Intended just to aid debugging efforts of a GGML port of Falcon.
Training and evaluation data
https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt
Training procedure
Just used the single tinyshakespeare text file as both the training and validation set (split up into paragraphs). See:
https://colab.research.google.com/drive/1dl7Jko78CX1y_EYZJWcRW9b_7X-0Bst8?usp=sharing
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3